"It’s becoming clear that real-world agentic systems work best when multiple agents collaborate, rather than having one agent attempt to do everything."

In a recent episode of Practical AI with the people behind All Hands:

"...when the Open Hands project started out, we were kind of on this bandwagon of trying to create a big agentic framework that you could use with and define lots of different agents. You could have your debugging agent, you could have your software architect agent, you could have your browsing agent and all of these things like this. And we actually implemented a framework where you could have one agent delegate to another agent and then that agent would go off and do this task and things like this.

One somewhat surprising thing is how ineffective this paradigm ended up being from two perspectives. So the first perspective is it didn't really and this is specifically for the case of software engineering. There might be other cases where this would be useful. But the first is in terms of effectiveness, we found that having a single agent that just has all of the necessary context, it has the ability to write code, use a web browser to gather information and execute code. Ends up being able to do a pretty large swath of tasks without a lot of specific tooling and structuring around the problems."

https://practicalai.fm/310

Not saying it is wrong. But I don't think it is something that is "clear" and we can take for granted so some benchmarks/reasoning why would have been great.